4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 4 cited
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
Ke Xu, Ziliang Wang, Wei Zheng +4
Cross-domain recommendation (CDR) methods are proposed to tackle the sparsity problem in click through rate (CTR) estimation. Existing CDR methods directly transfer knowledge from…
cs.CL2022★ 1 cited
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI
Chenglin Wang, Yucheng Zhou, Guodong Long +2
With the advance of natural language inference (NLI), a rising demand for NLI is to handle scientific texts. Existing methods depend on pre-trained models (PTM) which lack domain-s…